Name
Title | ||
|---|---|---|
RPYFMM: Parallel Adaptive Fast Multipole Method for Rotne-Prager-Yamakawa Tensor in Biomolecular Hydrodynamics Simulations. |
Abstract | ||
|---|---|---|
RPYFMM is a software package for the efficient evaluation of the potential field governed by the Rotne–Prager–Yamakawa (RPY) tensor interactions in biomolecular hydrodynamics simulations. In our algorithm, the RPY tensor is decomposed as a linear combination of four Laplace interactions, each of which is evaluated using the adaptive fast multipole method (FMM) (Greengard and Rokhlin, 1997) where the exponential expansions are applied to diagonalize the multipole-to-local translation operators. RPYFMM offers a unified execution on both shared and distributed memory computers by leveraging the DASHMM library (DeBuhr et al., 2016, 2018). Preliminary numerical results show that the interactions for a molecular system of 15 million particles (beads) can be computed within one second on a Cray XC30 cluster using 12,288 cores, while achieving approximately 54% strong-scaling efficiency. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cpc.2018.02.005 | Computer Physics Communications |
Keywords | DocType | Volume |
Brownian dynamics,Rotne–Prager–Yamakawa tensor,Hydrodynamics interactions,Fast multipole method,DASHMM,Distributed computing | Journal | 227 |
ISSN | Citations | PageRank |
0010-4655 | 0 | 0.34 |
References | Authors | |
7 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| W. Guan | 1 | 0 | 0.34 |
| X. Cheng | 2 | 0 | 0.34 |
| Jingfang Huang | 3 | 238 | 28.58 |
| G. Huber | 4 | 0 | 0.34 |
| Wei Li | 5 | 436 | 140.67 |
| J. Andrew Mccammon | 6 | 156 | 16.58 |
| Bo Zhang | 7 | 16 | 3.28 |